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Balancing Strategies for Bike Sharing Systems
13 references·1 citing·42 second hop
Balancing Strategies for Bike Sharing Systems (2019)Balancing Strategies for Bike Sharing Sys…Optimal bike fleet management by smart relocation methods: Combining an operator-based with an user-based relocation strategy (2016)Optimal bike fleet management…Traffic prediction in a bike-sharing system (2015)Traffic prediction in a bike-…Data Analysis and Optimization for (Citi)Bike Sharing (2015)Data Analysis and Optimizatio…Understanding the diffusion of public bikesharing systems: evidence from Europe and North America (2013)Understanding the diffusion o…Self-service bike sharing systems: simulation, repositioning, pricing (2013)Self-service bike sharing sys…Public Bikesharing in North America (2013)Public Bikesharing in North A…Incentives and regulations in bike-sharing systems with stations of finite capacity (2012)Incentives and regulations in…Strategic and Operational Planning of Bike-Sharing Systems by Data Mining – A Case Study (2011)Strategic and Operational Pla…China's Hangzhou Public Bicycle (2011)China's Hangzhou Public Bicyc…Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)Urban cycles and mobility pat…Bikesharing in Europe, the Americas, and Asia (2010)Bikesharing in Europe, the Am…Spatial analysis of dynamic movements of Vélo'v, Lyon's shared bicycle program (2009)Spatial analysis of dynamic m…Sensing and predicting the pulse of the city through shared bicycling (2009)Sensing and predicting the pu…Improving Sustainable Mobility with a Variable Incentive Model for Bike-Sharing Systems Based on Agent-Based Social Simulation (2020)Improving Sustainable Mobilit…Strategic design of public bicycle sharing systems with service level constraints (2010)Optimizing the location of stations in bike-sharing programs: A GIS approach (2012)A Dynamic Approach to Rebalancing Bike-Sharing Systems (2018)A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems (2019)Citywide Bike Usage Prediction in a Bike-Sharing System (2019)The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields (1983)The iron cage revisited institutional isomorphism and collective rationality in organizational fields (2004)Intentions to use bike-sharing for holiday cycling: An application of the Theory of Planned Behavior (2014)Diffusion of Innovations 1 (2019)A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data (2020)Dockless bike-sharing systems: what are the implications? (2020)Bike-sharing: History, Impacts, Models of Provision, and Future (2009)Analysing bicycle-sharing system user destination choice preferences: Chicago’s Divvy system (2015)Bike-sharing systems and congestion: Evidence from US cities (2017)Bike-sharing systems’ impact on modal shift: A case study in Delft, the Netherlands (2020)China statistical yearbook (1988)Diffusion of innovations. (2003)Better Understanding of Factors Influencing Likelihood of Using Shared Bicycle Systems and Frequency of Use (2012)Factors influencing bike share membership: An analysis of Melbourne and Brisbane (2014)Sustainable bike-sharing systems: characteristics and commonalities across cases in urban China (2014)Time Series Analysis: Forecasting and Control. (1978)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Mining bicycle sharing data for generating insights into sustainable transport systems (2013)A review on bike-sharing: The factors affecting bike-sharing demand (2019)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)The scaling laws of human travel (2006)Understanding Bike-Sharing Systems using Data Mining: Exploring Activity Patterns (2011)Large-Scale Vehicle Sharing Systems: Analysis of Vélib' (2012)Modelling the potential effect of shared bicycles on public transport travel times in Greater Helsinki: An open data approach (2013)Hierarchical prediction based on two-level Gaussian mixture model clustering for bike-sharing system (2019)A Hybrid Machine Learning Model for Demand Prediction of Edge-Computing-Based Bike-Sharing System Using Internet of Things (2020)Predicting station level demand in a bike‐sharing system using recurrent neural networks (2020)Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies (2011)Bike Share: A Synthesis of the Literature (2013)Bikeshare: A Review of Recent Literature (2015)Dynamic cluster-based over-demand prediction in bike sharing systems (2016)Rebalancing Bike Sharing Systems (2016)Planning Bike Lanes based on Sharing-Bikes' Trajectories (2017)Mobility Modeling and Data-Driven Closed-Loop Prediction in Bike-Sharing Systems (2019)A user-based bike rebalancing strategy for free-floating bike sharing systems: A bidding model (2021)The static bike rebalancing problem with optimal user incentives (2021)
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References

  • 2010Bikesharing in Europe, the Americas, and Asia1,149 cited
  • 2010Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system446 cited
  • 2015Traffic prediction in a bike-sharing system361 cited
  • 2011China's Hangzhou Public Bicycle320 cited
  • 2009Sensing and predicting the pulse of the city through shared bicycling307 cited
  • 2013Understanding the diffusion of public bikesharing systems: evidence from Europe and North America261 cited
  • 2013Public Bikesharing in North America212 cited
  • 2015Data Analysis and Optimization for (Citi)Bike Sharing164 cited
  • 2011Strategic and Operational Planning of Bike-Sharing Systems by Data Mining – A Case Study79 cited
  • 2013Self-service bike sharing systems: simulation, repositioning, pricing61 cited
  • 2012Incentives and regulations in bike-sharing systems with stations of finite capacity25 cited
  • 2009Spatial analysis of dynamic movements of Vélo'v, Lyon's shared bicycle program21 cited
  • 2016Optimal bike fleet management by smart relocation methods: Combining an operator-based with an user-based relocation strategy20 cited

Cited by

  • 2020Improving Sustainable Mobility with a Variable Incentive Model for Bike-Sharing Systems Based on Agent-Based Social Simulation

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4 cited